Sven J. Dickinson
Computer Vision and Pattern Recognition · 2002–2022
A researcher in the Science corpus: 9 papers; trusts 233 researchers and is trusted by 465 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 107 citations into it; #1,949 of 21,575 by trust here, #3,404 by citations
- Control and Systems Engineering — 30 citations into it
- Artificial Intelligence — 27 citations into it
- Computational Mechanics — 16 citations into it; #7,638 of 10,001 by trust here, #4,178 by citations
- Biomedical Engineering — 14 citations into it
- Aerospace Engineering — 11 citations into it; #4,596 of 6,421 by trust here, #3,280 by citations
- Robotics & Control — 11 citations into it
- 3D Vision & Pose — 10 citations into it; #187 of 689 by trust here, #354 by citations
Whom Sven J. Dickinson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pedro F. Felzenszwalb
- Ross B. Girshick
- Michael Stark
- William T. Freeman
- David G. Lowe
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Chun-Nam John Yu
Who trusts Sven J. Dickinson overall
- Ziyu Zhang
- Sanja Fidler
- Chunyuan Li
- Raquel Urtasun
- Taeksoo Kim
- Scott E. Reed
- Joseph J. Lim
- Liang-Chieh Chen
- Jiajun Wu
- Johan W. H. Tangelder
Papers from Sven J. Dickinson's perspective
Ordered by how strongly the researchers Sven J. Dickinson trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model (2012) — 199 citations
- Video In Sentences Out (2012) — 157 citations
- TurboPixels: Fast Superpixels Using Geometric Flows (2009) — 1,235 citations
- Skeleton based shape matching and retrieval (2003) — 686 citations
- View-based 3-D object recognition using shock graphs (2002) — 86 citations
- Selecting canonical views for view-based 3-D object recognition (2004) — 48 citations
- Recognize Human Activities from Partially Observed Videos (2013) — 202 citations
- Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands (2022) — 106 citations
- Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra (2005) — 107 citations